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I am interested in the CausalImpact to analyse the impact of an event on a time series.
Now, it the serious challenge to find a proper Control Series, I think. But unfortunately in my case this might be a problem. So I came to the following idea.
What about using the shifted time series for your response? If I have click rates for the last 3 years and what to analyse the impact of my event, I think I could use the same Series shifted by let's say 1 year. This underlies the assumption that over a year for eg a specific month my Response behaves similar to last years'month. So I can use the shifted series to see if the event has an impact for this year's month?
This seems a very easy idea, but is not mentioned especially in this nice video.
Maybe I oversee some statistical consequences?
Any one who has an idea?
The text was updated successfully, but these errors were encountered:
I am interested in the CausalImpact to analyse the impact of an event on a time series.
Now, it the serious challenge to find a proper Control Series, I think. But unfortunately in my case this might be a problem. So I came to the following idea.
What about using the shifted time series for your response? If I have click rates for the last 3 years and what to analyse the impact of my event, I think I could use the same Series shifted by let's say 1 year. This underlies the assumption that over a year for eg a specific month my Response behaves similar to last years'month. So I can use the shifted series to see if the event has an impact for this year's month?
This seems a very easy idea, but is not mentioned especially in this nice video.
Maybe I oversee some statistical consequences?
Any one who has an idea?
The text was updated successfully, but these errors were encountered: